tbbooher

import pulp, csv


# Conversion factors
in_to_mm = 25.4 # 1 inch is 25.4 mm

# Define the stock boards as a list of tuples (description, length in mm, width in mm, cost)
# All lengths are converted to mm (1 ft = 12 in)
# Conversion factors
in_to_mm = 25.4 # 1 inch = 25.4 millimeters

tbbooher

public class PigLatinConverter {

    public static void main(String[] args) {
        String inputSentence = "Hello world this is a test";
        String pigLatinSentence = convertSentenceToPigLatin(inputSentence);
        System.out.println("Original: " + inputSentence);
        System.out.println("Pig Latin: " + pigLatinSentence);
    }

    public static String convertSentenceToPigLatin(String sentence) {

tbbooher

from __future__ import print_function
import base64
import os
import os.path
import sys
import email
import datetime
import pytz
import base64
import email

tbbooher

from __future__ import print_function
import base64
import os
import os.path
from google.auth.transport.requests import Request
from google.oauth2.credentials import Credentials
from google_auth_oauthlib.flow import InstalledAppFlow
from googleapiclient.discovery import build
from googleapiclient.errors import HttpError
import sys

tbbooher

import matplotlib.pyplot as plt
import matplotlib.patches as patches

def first_fit_decreasing(pieces, plywood_width, plywood_length):
    pieces = sorted(pieces, key=lambda x: x[0] * x[1], reverse=True)
    bins = []
    positions = []

    for piece in pieces:
        piece_placed = False

tbbooher

from bs4 import BeautifulSoup
import csv
import re

with open('edmunds.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []

tbbooher

from bs4 import BeautifulSoup
import csv
import re

with open('output.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []

tbbooher

#!/bin/zsh

input_file="$1"
output_file="output.html"

# Remove <img> tags with optional whitespace before and after the tag
sed -e 's/[[:space:]]*<img[^>]*>[[:space:]]*//g' "$input_file" > "$output_file"

# Remove <g-img> tags with optional whitespace before and after the tag
sed -i.bak -e 's/[[:space:]]*<g-img[^>]*>[[:space:]]*//g' "$output_file"

tbbooher

from bs4 import BeautifulSoup
import csv
import re

with open('data.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []

tbbooher

from bs4 import BeautifulSoup

with open('data.html', 'r') as f:
    html = f.read()

soup = BeautifulSoup(html, 'html.parser')

results = []

for result_tile in soup.find_all('div', {'data-qa': 'result-tile'}):